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    <responseDate>2026-10-11T09:53:37Z</responseDate>
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    <identifier>10.57760/sciencedb.44761</identifier>
    <datestamp>2026-07-31T15:35:58Z</datestamp>
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  <dc:date>2026-07-31</dc:date>
  <dc:title>Cross-disciplinary research article vs AI generated texts</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.44761</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This is the dataset used to conduct cross-disciplinary comparison of research article vs AI generated texts in the academic writing context. The dataset contains 420 research article abstracts collected from 14 hard and soft disciplines and 420 equivalent texts generated by DeepSeek. Data is stored in the form of txt files. </dc:description>
  <dc:subject>Cross-disciplinary;  AI; Comparision</dc:subject>
  <dc:creator>Mingxin Yao</dc:creator>
  <dc:creator>Ying Wei</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
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  <dc:publisher>Science Data Bank</dc:publisher>
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